Commercial Intelligence Lead
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The Commercial Intelligence Lead will be responsible for transforming complex healthcare, pharmaceutical, and market data into actionable commercial insights that drive strategic decision-making for clients. This role sits at the intersection of analytics, strategy, customer intelligence, and commercialization, helping pharmaceutical and life sciences organizations identify growth opportunities, optimize customer engagement, and improve business performance across the product lifecycle.
The ideal candidate combines strong analytical capabilities with strategic thinking and possesses deep experience working with healthcare data assets, including claims, prescription, patient, provider, and market access data. They will collaborate closely with strategy, CX, research, and client teams to translate data into meaningful business recommendations and measurable outcomes.
Role
- Permanent Full-time
- Remote / Hybrid
- Pay scale: 250-270k CDN
Core Competencies
- Healthcare Data & Analytics - Claims, Rx, patient, provider, and market access data analysis
- Commercial Strategy & Market Intelligence - Market sizing, segmentation, targeting, forecasting, and growth strategy
- Insight Generation & Storytelling - Translating complex data into actionable business recommendations
- Strategic Consulting & Client Leadership - Executive communications, stakeholder management, and problem solving
- Data Visualization & Technology - Dashboarding, reporting, AI-enabled analytics, and commercial intelligence platforms
Responsibilities & Duties
- Analyze and synthesize large healthcare datasets to uncover actionable commercial opportunities and market insights.
- Develop customer, patient, and HCP intelligence frameworks that support strategic planning and commercialization efforts.
- Conduct market sizing, segmentation, targeting, and opportunity assessments across therapeutic areas and brands.
- Build dashboards, reporting frameworks, and performance measurement systems to support ongoing client decision-making.
Leverage healthcare data sources including:
- Medical and pharmacy claims data
- Prescription (Rx) data
- HCP/NPI data
- Referral and treatment pathway data
- Market access and payer data
- Digital engagement and omnichannel data
Analyze patient journeys, treatment pathways, adherence patterns, referral networks, and prescribing behaviors.
Generate insights that inform brand strategy, customer engagement, field force effectiveness, and commercialization planning.
Strategic Consulting
- Partner with strategy and client teams to translate analytics into business recommendations.
- Support commercial planning, launch readiness, market development, and lifecycle management initiatives.
- Develop evidence-based recommendations that drive patient engagement, HCP adoption, and commercial growth.
- Present findings and strategic implications to senior client stakeholders.
Capability Development
- Help build and scale FSi’s commercial intelligence and analytics capabilities.
- Identify emerging healthcare data sources, analytical approaches, AI applications, and industry best practices.
- Contribute to thought leadership, frameworks, methodologies, and commercialization products.
Culture
- Brings a strong growth mindset, with genuine openness to feedback and collaboration as core to learning, improving the work, and supporting one another
- Relentlessly curious and always looking for the why behind the why behind the why
- Actively contributes to a team and company culture of care and respect
- Commits to creating an equitable and inclusive environment for members of the team and clients
Experience & Qualifications
Experience
- 10-12+ years of experience in pharmaceutical analytics, healthcare consulting, commercial intelligence, market analytics, or related fields.
- Experience working within life sciences, healthcare consulting, pharmaceutical manufacturers, data providers, or commercialization agencies.
- Demonstrated experience working with healthcare claims and prescription data.
Technical Expertise
Strong understanding of:
- Medical and pharmacy claims data
- Patient-level analytics
- HCP targeting and segmentation
- Commercial analytics and forecasting
- Market access analytics
- Omnichannel measurement
- Data visualization and dashboarding
Experience with platforms such as:
- IQVIA
- Veeva
- Tableau
- Power BI
- SQL
- Python or R (preferred)